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X Demographics
Mendeley readers
Title |
Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19
|
---|---|
Published in |
Frontiers in Big Data, June 2023
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DOI | 10.3389/fdata.2023.1081639 |
Pubmed ID | |
Authors |
Suraj Singh Nagvanshi, Inderjeet Kaur, Charu Agarwal, Ashish Sharma |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 20% |
Lecturer | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 40% |
Unspecified | 1 | 20% |
Unknown | 2 | 40% |